生命系统
背景(考古学)
自组装
构造(python库)
纳米技术
内生
分类
分类
细胞生物学
生物物理学
化学
材料科学
计算生物学
生物系统
生物
计算机科学
生物化学
人工智能
程序设计语言
古生物学
情报检索
作者
Xuejiao Yang,Honglei Lu,Bihan Wu,Huaimin Wang
出处
期刊:ACS Nano
[American Chemical Society]
日期:2022-10-18
卷期号:16 (11): 18244-18252
被引量:17
标识
DOI:10.1021/acsnano.2c05825
摘要
Biological components (protein, DNA, lipid rafts, etc.) self-sort to form higher-order structures with elegant modulation by endogenous stimuli for maintaining cellular functions in living cells. However, the challenge of producing self-sorted higher-order assemblies of peptides in living systems (cells and tissues) spatiotemporally has yet to be achieved. This work reports the using of a biocompatible strategy to construct self-sorted assemblies of peptides in living cells and tumor-bearing mice. The results show that the designed peptides self-sort to form distinct nanostructures in living cancer cells using an endogenous trigger, as evidenced by confocal laser scanning microscopy and Bio-EM. Wound-healing experiments indicate that the in situ generation of self-sorted nanostructures exhibits a synergistic effect that significantly decreases the migration of cancer cells. In vivo experiments demonstrate that the designed peptides could self-sort in tumor-bearing mice and improve the tumor penetrating ability of the impenetrable component in tumor tissue. We can further program the formation of self-sorted materials through orthogonal triggers by introducing an exogenous trigger (light) and an endogenous trigger independently. Thus, this work provides a strategy to control multiple self-assembling processes in the context of the living system and provides a general strategy to construct self-sorted structures for the emergent properties of materials science.
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